Active transfer learning with zero-shot priors: Reusing past datasets for future tasks

Proceedings of the IEEE International Conference on Computer Vision

Volumn 2015 International Conference on Computer Vision, ICCV 2015, Issue , 2015, Pages 2731-2739

  Gavves, E ^a,b   Mensink, T ^a   Tommasi, T ^c   Snoek, C G M ^a,b   Tuytelaars, T ^d,e  

^a QUVA Lab   (Netherlands)

^b UNIVERSITY OF AMSTERDAM   (Netherlands)

^c UNIVERSITY OF NORTH CAROLINA   (United States)

^d UNIVERSITY OF LEUVEN   (Belgium)

^e Centre for the Processing of Speech and Images   (Belgium)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMPUTER VISION; LEARNING ALGORITHMS;

ACTIVE LEARNING; ACTIVE-LEARNING ALGORITHM; BASIC CONDITIONS; DUAL FORMULATIONS; LEARNING PROCESS; STATE OF THE ART; TARGET CLASSIFICATION; TRANSFER LEARNING;

IMAGE CLASSIFICATION;

EID: 84973923098     PISSN: 15505499     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCV.2015.313     Document Type: Conference Paper

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